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Online Remote Trace Analysis of Parallel Applications on High-Performance Clusters

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High Performance Computing (ISHPC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2858))

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Abstract.

The paper presents the design and development of an online remote trace measurement and analysis system. The work combines the strengths of the TAU performance system with that of the VNG distributed parallel trace analyzer. Issues associated with online tracing are discussed and the problems encountered in system implementation are analyzed in detail. Our approach should port well to parallel platforms. Future work includes testing the performance of the system on large-scale machines.

Holger Brunst: brunst@cs.uoregon.edu

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References

  1. Brunst, H., Nagel, W.E., Hoppe, H.-C.: Group-Based Peformance Analysis for Multithreaded SMP Cluster Applications. In: Sakellariou, R., Keane, J.A., Gurd, J.R., Freeman, L. (eds.) Euro-Par 2001. LNCS, vol. 2150, pp. 148–153. Springer, Heidelberg (2001)

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  2. Brunst, H., Winkler, M., Nagel, W.E., Hoppe, H.-C.: Performance Optimization for Large Scale Computing: The Scalable VAMPIR Approach. In: Alexandrov, V.N., Dongarra, J., Juliano, B.A., Renner, R.S., Tan, C.J.K. (eds.) ICCS-ComputSci 2001. LNCS, vol. 2074, pp. 751–760. Springer, Heidelberg (2001)

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  3. Lindlan, K.A., Cuny, J., Malony, A.D., Shende, S., Mohr, B., Rivenburgh, R., Rasmussen, C.: Tool Framework for Static and Dynamic Analysis of Object-Oriented Software with Templates. In: Proceedings SC 2000 (2000)

    Google Scholar 

  4. Malony, A., Shende, S.: Performance Technology for Complex Parallel and Distributed Systems. In: Kotsis, G., Kacsuk, P. (eds.) Distributed and Parallel Systems From Instruction Parallelism to Cluster Computing. Proc. 3rd Workshop on Distributed and Parallel Systems, DAPSYS 2000, pp. 37–46. Kluwer, Dordrecht (2000)

    Google Scholar 

  5. Meuer, H.W., Strohmaier, E., Dongarra, J.J., Simon, H.D.: Top500 Supercomputing Sites, 18th edn (2002), http://www.top500.org

  6. Zaki, O., Lusk, E., Gropp, W., Swider, D.: Toward Scalable Performance Visualization with Jumpshot. The International Journal of High Performance Computing Applications 13(3), 277–288 (1999)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department for Computer and Information Science, University of Oregon, Eugene, USA

    Holger Brunst, Allen D. Malony, Sameer S. Shende & Robert Bell

  2. Center for High Performance Computing, Dresden University of Technology, Germany

    Holger Brunst

Authors
  1. Holger Brunst
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  2. Allen D. Malony
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  3. Sameer S. Shende
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  4. Robert Bell
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of California (UCI), 3019 Donald Bren Hall, 92697-3435, Irvine, CA, USA

    Alex Veidenbaum

  2. Department of Information and Computer Science, Faculty of Science, Nara women’s University, Kitauoyanishi-machi, Nara-city, 630-8506, Nara, Japan

    Kazuki Joe

  3. Keio University, Hiyoshi, Kohoku, Yokohama, 223–8522, Kanagawa, Japan

    Hideharu Amano

  4. Tokyo University of Technology, 1404-1 Katakura, Hachioji, 192-0982, Tokyo, Japan

    Hideo Aiso

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© 2003 Springer-Verlag Berlin Heidelberg

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Brunst, H., Malony, A.D., Shende, S.S., Bell, R. (2003). Online Remote Trace Analysis of Parallel Applications on High-Performance Clusters. In: Veidenbaum, A., Joe, K., Amano, H., Aiso, H. (eds) High Performance Computing. ISHPC 2003. Lecture Notes in Computer Science, vol 2858. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39707-6_39

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  • DOI: https://doi.org/10.1007/978-3-540-39707-6_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20359-9

  • Online ISBN: 978-3-540-39707-6

  • eBook Packages: Springer Book Archive

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